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6D pose estimation of rigid objects from RGB-D images is crucial for object grasping and manipulation in robotics.
Epnp: An accurate o (n) solution to the pnp problem
Lepetit V., Moreno-Noguer F., Fua P · 2009
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Model globally, match locally: Efficient and robust 3d object recognition
Drost B., Ulrich M., Navab N., Ilic S · 2010
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Gradient response maps for real-time detection of textureless objects
Hinterstoisser S., Cagniart C., Ilic S., Sturm P., Navab N., Fua P., Lepetit V · 2011
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Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
Hinterstoisser S., Holzer S. J. J., Cagniart C., Ilic S., Konolige K., Navab N., Lepetit V · 2011
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Voting-based pose estimation for robotic assembly using a 3d sensor
Choi C., Taguchi Y., Tuzel O., Liu M.-Y., Ramalingam S · 2012
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Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes
Hinterstoisser S., Lepetit V., Ilic S., Holzer S., Bradski G., Konolige K., Navab N · 2012
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Learning 6d object pose estimation using 3d object coordinates
Brachmann E., Krull A., Michel F., Gumhold S., Shotton J., Rother C · 2014
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Shot: Unique signatures of histograms for surface and texture description
Salti S., Tombari F., Di Stefano L · 2014
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The ycb object and model set: Towards common benchmarks for manipulation research
Calli B., Singh A., Walsman A., Srinivasa S. S., Abbeel P., Dollar A. M · 2015
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Detection and fine 3d pose estimation of texture-less objects in rgb-d images
Hodaň T., Zabulis X., Lourakis M., Obdržálek Š., Matas J · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe S., Szegedy C · 2015
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Orb-slam: a versatile and accurate monocular slam system
Mur-Artal R., Montiel J. M. M., Tardos J. D · 2015
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Layer normalization
Ba J., Kiros J. R., Hinton G. E · 2016
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Going further with point pair features
Hinterstoisser S., Lepetit V., Rajkumar N., Konolige K · 2016
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Instance normalization: The missing ingredient for fast stylization
Ulyanov D., Vedaldi A., Lempitsky V · 2016
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Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again
Kehl W., Manhardt F., Tombari F., Ilic S., Navab N · 2017
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Focal loss for dense object detection
Lin T.-Y., Goyal P., Girshick R., He K., Dollár P · 2017
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Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth
Rad M., Lepetit V · 2017
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Pointfusion: Deep sensor fusion for 3d bounding box estimation
Xu D., Anguelov D., Jain A · 2017
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Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Xiang Y., Schmidt T., Narayanan V., Fox D · 2017
Cited alongside, same era.
Texture-less object detection and 6d pose estimation in rgb-d images
Zhang H., Cao Q · 2017
Cited alongside, same era.
Pyramid scene parsing network
Zhao H., Shi J., Qi X., Wang X., Jia J · 2017
Cited alongside, same era.
A comprehensive review of 3d point cloud descriptors
Hana X.-F., Jin J. S., Xie J., Wang M.-J., Jiang W · 2018
Cited alongside, same era.
In defense of classical image processing: Fast depth completion on the cpu
Ku J., Harakeh A., Waslander S. L · 2018
Cited alongside, same era.
Deepim: Deep iterative matching for 6d pose estimation
Li Y., Wang G., Ji X., Xiang Y., Fox D · 2018
Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation
He Y., Sun W., Huang H., Liu J., Fan H., Sun J · 2020
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Pvnet: pixel-wise voting network for 6dof object pose estimation
Peng S., Zhou X., Liu Y., Lin H., Huang Q., Bao H · 2020
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Hybridpose: 6d object pose estimation under hybrid representations
Song C., Song J., Huang Q · 2020
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Bold3d: A 3d bold descriptor for 6dof pose estimation
Zhou J., Liu Y., Liu J., Xie Q., Zhang Y., Zhu X., Ding X · 2020
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Xcit: Cross-covariance image transformers
Ali A., Touvron H., Caron M., Bojanowski P., Douze M., Joulin A., Laptev I., Neverova N., Synnaeve G., Verbeek J., et al · 2021
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Up-detr: Unsupervised pre-training for object detection with transformers
Dai Z., Cai B., Lin Y., Chen J · 2021
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Cited alongside, same era.
Implicit 3d orientation learning for 6d object detection from rgb images
Sundermeyer M., Marton Z.-C., Durner M., Brucker M., Triebel R · 2018
Cited alongside, same era.
Real-time seamless single shot 6d object pose prediction
Tekin B., Sinha S. N., Fua P · 2018
Cited alongside, same era.
A method for 6d pose estimation of free-form rigid objects using point pair features on range data
Vidal J., Lin C.-Y., Lladó X., Martí R · 2018
Cited alongside, same era.
Cullnet: Calibrated and pose aware confidence scores for object pose estimation
Gupta K., Petersson L., Hartley R · 2019
Cited alongside, same era.
Segmentation-driven 6d object pose estimation
Hu Y., Hugonot J., Fua P., Salzmann M · 2019
Cited alongside, same era.
Pvnet: Pixel-wise voting network for 6dof pose estimation
Peng S., Liu Y., Huang Q., Zhou X., Bao H · 2019
Cited alongside, same era.
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Vector neurons: A general framework for so (3)-equivariant networks
Deng C., Litany O., Duan Y., Poulenard A., Tagliasacchi A., Guibas L. J · 2021
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Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
Du G., Wang K., Lian S., Zhao K · 2021
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Ffb6d: A full flow bidirectional fusion network for 6d pose estimation
He Y., Huang H., Fan H., Chen Q., Sun J · 2021
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A comprehensive survey on point cloud registration
Huang X., Mei G., Zhang J., Abbas R · 2021
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A review of multimodal image matching: Methods and applications
Jiang X., Ma J., Xiao G., Shao Z., Guo X · 2021
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Sparse steerable convolutions: An efficient learning of se (3)-equivariant features for estimation and tracking of object poses in 3d space
Lin J., Li H., Chen K., Lu J., Jia K · 2021
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Leveraging se (3) equivariance for self-supervised category-level object pose estimation from point clouds
Li X., Weng Y., Yi L., Guibas L. J., Abbott A., Song S., Wang H · 2021
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A tutorial review on point cloud registrations: Principle, classification, comparison, and technology challenges
Li L., Wang R., Zhang X · 2021
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Image matching from handcrafted to deep features: A survey
Ma J., Jiang X., Fan A., Jiang J., Yan J · 2021
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Stablepose: Learning 6d object poses from geometrically stable patches
Shi Y., Huang J., Xu X., Zhang Y., Xu K · 2021
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Max-deeplab: End-to-end panoptic segmentation with mask transformers
Wang H., Zhu Y., Adam H., Yuille A., Chen L.-C · 2021
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Discriminatively trained templates for 3d object detection: A real time scalable approach
Rios-Cabrera R., Tuytelaars T · 2055
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